Overview
ECPI University is seeking a Software Development Faculty Member with deep expertise in AI-augmented development practices to serve as a Subject Matter Expert (SME). This role leads the integration of AI tools, responsible development principles, and modern software engineering practices across the undergraduate software development curriculum — with a particular focus on preparing students who are new to coding to work productively and ethically alongside AI systems from day one of their careers.
Key Responsibilities
- Serve as institutional SME for AI-augmented software development, guiding curriculum design across the full undergraduate software development program
- Design, develop, and refine curriculum covering AI-assisted coding, LLM-based application development, prompt engineering, AI-augmented architecture and design thinking, and responsible/ethical AI development practices
- Teach courses at the intersection of software development and artificial intelligence, using real-world tools, scaffolded projects, and industry-aligned case studies accessible to students with no prior coding experience
- Model professional AI-augmented development workflows in the classroom — including AI coding assistants (e.g., GitHub Copilot, Kilo Code), LLM API integration, and prompt-driven design and documentation practices
- Incorporate secure coding principles (OWASP Top 10, CWE) into AI-augmented development instruction, helping students understand how AI tools can both introduce and help mitigate software vulnerabilities
- Mentor faculty colleagues in adopting AI-augmented pedagogical strategies and tools across software development courses
- Collaborate with academic leadership to ensure curriculum reflects current industry expectations for AI-literate software developers
- Stay continuously current with advancements in generative AI, agentic coding tools, LLM frameworks, and their evolving roles in professional software development
Qualifications
Education
- Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field OR
- Master's degree with 18+ graduate semester hours in the discipline
- Ph.D. strongly preferred, particularly with research or applied focus in AI, software engineering, or human-computer interaction
Experience
- Demonstrated hands-on expertise in AI-augmented software development (e.g., AI-assisted coding workflows, LLM API development, prompt engineering, agentic development tools)
- 3–5 years of relevant industry experience (10+ years preferred), with direct exposure to AI-integrated development environments
- Experience designing or delivering curriculum, training, or professional development for beginner-to-intermediate learners
- Teaching or mentoring experience preferred, particularly with students new to programming
Technical Skills
Required:
- AI-assisted coding tools and workflows (GitHub Copilot, Kilo Code, Cursor, or equivalent)
- LLM concepts and application development using LLM APIs (OpenAI, Anthropic, or equivalent)
- Prompt engineering principles and patterns for software development contexts
- Core software development fundamentals: OOP, data structures, version control, debugging
- Secure coding awareness: OWASP Top 10, CWE, AI-introduced vulnerability patterns
Preferred:
- Agentic AI frameworks (LangChain, AutoGen, or equivalent)
- Cloud AI/ML development services (AWS Bedrock, Azure OpenAI, Google Vertex AI)
- AI ethics frameworks and responsible development practices
- Full-stack web development with AI integration
- AI-augmented architecture and design thinking methodologies
Certifications (Preferred)
- GitHub Copilot or GitHub Foundations certification
- AWS Certified Developer / Azure Developer Associate
- Azure AI Engineer or AWS ML Specialty
- Google Professional ML Engineer
- Any recognized LLM/generative AI development credential
- Certified Scrum Master (CSM) or SAFe Agile practitioner
Skills & Abilities
- Deep expertise in AI-augmented development with ability to scaffold complex concepts for students encountering programming for the first time
- Strong curriculum development skills with experience mapping AI competencies to industry frameworks (e.g., NICE Workforce Framework, ACM/IEEE Computing Curricula)
- Ability to model professional-grade AI workflows in accessible, confidence-building ways for novice learners
- Commitment to responsible AI development — able to teach both the power and the ethical responsibilities of AI-assisted software creation
- Excellent collaboration, communication, and organizational skills
- Passion for innovation, instructional excellence, and preparing students for the AI-augmented workforce
ECPI University is proud to be an Equal Opportunity Employer.
Master's degree in Computer Science, Software Engineering, AI or related field with 18+ graduate hours; 3-5 years industry experience in AI-augmented development; expertise in AI coding tools, LLM APIs, prompt engineering, secure coding; teaching experience preferred.
Key Responsibilities
- teaching AI development
- designing curriculum
- mentoring faculty
Skills & Tools
GitHub Copilot, Kilo Code, Cursor, OpenAI, Anthropic, LangChain, AutoGen, AWS Bedrock, Azure OpenAI, Google Vertex AI, OWASP Top 10, CWE
Job Details
- Category: Education services
- Seniority: Mid Level
- Commitment: Part Time
- Workplace: Remote — United States
- Languages: English
About ECPI University
A university providing undergraduate education with a focus on technology and software development. — Industry: Education